Semantic Scholar Open Access 2021 44 sitasi

Autonomous Vehicle-to-Grid Design for Provision of Frequency Control Ancillary Service and Distribution Voltage Regulation

Shota Yumiki Y. Susuki Yuta Oshikubo Y. Ota Ryo Masegi +4 lainnya

Abstrak

We develop a system-level design for the provision of Ancillary Service (AS) for control of electric power grids by in-vehicle batteries, suitably applied to Electric Vehicles (EVs) operated in a sharing service. An architecture for cooperation between transportation and energy management systems is introduced that enables us to design an autonomous Vehicle-to-Grid (V2G) for the provision of multi-objective AS: primary frequency control in a transmission grid and voltage amplitude regulation in a distribution grid connected to EVs. The design is based on the ordinary differential equation model of distribution voltage, which has been recently introduced as a new physics-based model, and is utilized in this paper for assessing and regulating the impact of spatiotemporal charging/charging of a large population of EVs to a distribution grid. Effectiveness of the autonomous V2G design is evaluated with numerical simulations of realistic models for transmission and distribution grids with synthetic operation data on EVs in a sharing service. In addition, we present a hardware-in-the-loop test for evaluating its feasibility in a situation where inevitable latency is involved due to power, control, and communication equipments.

Penulis (9)

S

Shota Yumiki

Y

Y. Susuki

Y

Yuta Oshikubo

Y

Y. Ota

R

Ryo Masegi

A

Akihiko Kawashima

A

A. Ishigame

S

S. Inagaki

T

Tatsuya Suzuki

Format Sitasi

Yumiki, S., Susuki, Y., Oshikubo, Y., Ota, Y., Masegi, R., Kawashima, A. et al. (2021). Autonomous Vehicle-to-Grid Design for Provision of Frequency Control Ancillary Service and Distribution Voltage Regulation. https://doi.org/10.1016/j.segan.2022.100664

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.segan.2022.100664
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
44×
Sumber Database
Semantic Scholar
DOI
10.1016/j.segan.2022.100664
Akses
Open Access ✓